Overview

Multi-Agent Systems studies how multiple decision-makers interact when they share goals, compete for resources, or have only partial information about one another. Approaches include multi-agent reinforcement learning, game theory and formal verification, decentralized consensus and task allocation, and—more recently—LLM-agent teams organized through roles, workflows, debate, and shared memory. Researchers evaluate these methods in social dilemmas, cooperative robotics and swarms, reasoning and coding benchmarks, and operational settings, measuring success alongside cost, robustness, and fairness. A central open tension is that coordination can improve outcomes but also adds overhead and can spread shared errors, so its benefits depend on the task, communication structure, and agents involved.

Latest papers

CardsList

677 papers99 papers in the last four weeks, up 29% on the four weeks before. 0.6% of all new papers.

  1. CHMAS: A Coupled Hierarchical Framework for Multi-Agent Reinforcement Learning

    Jul 21, 2026Dongming Wang, Jie Xu, Yanyu Zhang +1Multi-Agent CoordinationAsynchronous RL

  2. EduPanel: A Three-Agent LLM Judge for Teaching Videos -- Reliability, Complementarity, and Human Trust Calibration

    Jul 20, 2026Jia-Kai Dong, Yi-Cheng Lin, Hung-yi LeeLLM-as-a-JudgeEducational Assessment

  3. A Multi-Agent System for 5G Throughput Prediction in Multi-Operator Urban Environments

    Jul 18, 2026Muhammad Kabeer, Rosdiadee Nordin, Nadiva Nuriftitah +1Adaptive Model RoutingWireless Communications

  4. Laplacian Spectral Shaping for Non-Uniform Scaling Formation Control of Open Multi-Agent Systems

    Jul 18, 2026Tao He, Gangshan JingMulti-Robot Formation ControlMulti-Agent Control

  5. When Do Multi-Agent Systems Help? An Information Bottleneck Perspective

    Jul 17, 2026Wendi Yu, Lianhao Zhou, Xiangjue Dong +6Multi-Agent LLM SystemsInformation Bottleneck

  6. AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets

    Jul 17, 2026Ming Chen, Pranav PaiMulti-Agent SystemsRubric-Based Evaluation

  7. The Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival Pressure

    Jul 16, 2026Lucas Bergholdt Hansen, Federico Torrielli, Filippo Tonini +1Social DilemmasMulti-Agent Coordination

  8. Towards an Intention Abstraction Layer for Autonomous Industrial Systems

    Jul 16, 2026Artan Markaj, Raphael Höfer, Felix GehlhoffAI Agent MonitoringMulti-Agent Systems

  9. Unveiling Complex Collective Behaviors from Simple Rewards

    Jul 14, 2026Yize Mi, Jianan Li, Liang Li +1Swarm RoboticsMulti-Robot Coordination

  10. Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations

    Jul 13, 2026Samer Saab, Chaouki AbdallahOpen-Weight Language ModelsMulti-Agent Systems

  11. Automated Textbook Auditing with Multi-Agent LLM Systems

    Jul 13, 2026Ciprian Cristescu, Adrian-Marius Dumitran, Angela-Liliana Dumitran +1AI Agent AuditingGenerative AI in Education

  12. Do Multi-Agent LLMs Explore Each Other?

    Jul 13, 2026Hyeong Kyu Choi, Jiatong Li, Wendi Li +2Multi-Agent LLM SystemsMulti-Agent Coordination

  13. Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents

    Jul 12, 2026Kai Yu, Lu Chen, Hanqi LiMulti-Agent CollaborationMulti-Agent Systems

  14. Volition Elicitation: Operational Semantics for People and Their Machines

    Jul 10, 2026Idit Keidar, Ehud ShapiroMulti-Agent SystemsMulti-Agent Coordination

  15. Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination

    Jul 9, 2026Runzhe Liu, Biquan Bie, Zihao Wang +7Multi-Agent LLM SystemsLLM Hallucination Mitigation

  16. Finding H. pylori in the Fine Print: Evidence-Linked Multi-Agent Case Finding from Gastric Biopsy Reports

    Jul 7, 2026Yufan Wang, Anit Kumar Sahu, Yan Fei Ng +8Computational PathologyClinical Information Extraction

  17. A framework for single and multi-agent human-AI curiosity ecosystems

    Jul 7, 2026Ilya E. MonosovAI Agents for Scientific DiscoveryIntrinsic Motivation

  18. Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems

    Jul 7, 2026Yaowen Ye, Jacob SteinhardtLLM AgentsMulti-Agent Systems

  19. Collective Intelligence with Foundation Models

    Jul 6, 2026J. de Curtò, I. de ZarzàAI Agent EvaluationMulti-Agent Collaboration

  20. Decision Protocols in Multi-Agent Large Language Model Conversations

    Jul 6, 2026Lars Benedikt KaesbergMulti-Agent LLM SystemsLLM Agent Evaluation

  21. An Exploration of Agentic Information Fusion for Test Maintenance Prediction

    Jul 6, 2026Jingxiong Liu, Nasser Mohammadiha, Gregory GayAutomated Software TestingPredictive Maintenance

  22. Second MOASEI Competition at AAMAS'2026: A Technical Report

    Jul 3, 2026Ceferino Patino, Tyler J. Billings, Alireza Saleh Abadi +4Multi-Agent CoordinationAI Agent Benchmarks